Computer Vision Lead

Are you ready to revolutionise the world with TEKEVER? 🚀🌍

At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation.

💻 Digital | 🛡️ Defence | 🔒 Security | 🛰️ Space

We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space.

We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace.

🌐 Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards.

At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making.

If you're passionate about technology and eager to shape the future — TEKEVER is the place for you. 👇🏻🎯

Mission:

As a Computer Vision Lead, you will lead the Computer Vision Engineering team and take ownership of the Computer Vision technology strategy, roadmap and execution within TEKEVER’s wider Data & AI team. You will lead and mentor a team of experienced Computer Vision Engineers, drive innovation, and ensure delivery of robust, scalable, and high-impact Computer Vision algorithms, models and solutions.

You will collaborate with cross-functional teams, guiding project planning, development priorities, and technical roadmaps. You will work closely together with the other teams within Data & AI (ML Engineering, Software Engineering, Data Science, Data Platform Engineering, Swarm AI Engineering and Product Management), as well as with related teams within the wider organisation (e.g. Ground Control Station, Onboard Systems, Autopilot).

What will be your responsibilities:

• Leadership: Lead, mentor and develop a team of Computer Vision Engineers, fostering a collaborative and innovative work environment. Showcase thought leadership in the field and inspire.
• Strategy Development: Define and execute a compelling Vision, Strategy and Roadmap for the Computer Vision team, in line with wider business objectives.
• Computer Vision Model, Algorithm and Solution Development: Lead and collaborate in the design, development and implementation of Computer Vision models, algorithms & solutions for image and video analysis, including object & event & change detection, recognition, segmentation and tracking. This includes leading, supporting and mentoring the Computer Vision Engineering team members in their activities, including model training & optimization, data pre-processing, collaboration with other expertise areas, computer vision model performance evaluation, deployment and documentation. Support the integration of our Computer Vision solutions within the wider portfolio of TEKEVER products (e.g. at the edge / UAV-onboard, Ground Control Station, Atlas).
  
• Research and Innovation: Stay current with the latest advancements in computer vision and machine learning and apply new techniques to improve existing approaches and develop new solutions.
• Project Management: Together with our Product Owners and Scrum Master, oversee the end-to-end lifecycle of Computer Vision projects and products, from ideation to deployment, ensuring timely delivery and high-quality outcomes, while reporting on progress in terms of milestones and timelines.
• Recruitment: recruit new team members across Europe as the organization expands internationally.

Profile and requirements:

• Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. A PhD is a plus.
• Experience: 5+ years of experience in Computer Vision Engineering, including at least 2 years in a leadership or technical lead role. Proven track record managing a team and successfully delivering complex Computer Vision solutions. Strong analytical and problem-solving skills with a strategic mindset.
• Leadership and soft skills:
• Excellent team leadership and mentoring capabilities.
• Collaborative mindset and ability to influence cross-functional teams.
• Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders. Able to translate complex technical concepts for diverse audiences.
• Experience in defining robust Computer Vision strategies and roadmaps, managing multiple projects / products in parallel, while reporting on key milestones and timelines.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment.
• Technical Skills:
• Allround experience covering classical to modern Computer Vision techniques.
• Strong programming skills in Python and C++, including optimisation for real time performance.
• Experience with relevant machine learning and deep learning models and frameworks such as YOLO.
• Experience with frameworks and libraries such as OpenCV, TensorFlow, TensorRT, PyTorch, Keras and ONNX.
• Experience with Feature Extraction & Matching Algorithms, Simultaneous Localization and Mapping (SLAM), Structure from Motion, Camera Pose Estimation, 2D/3D Object Detection, Instance Segmentation, Sensor Fusion, Point Clouds, Mensuration.
• Experience with OpenGL and CUDA.
• EO & IR image interpretation & processing (ideally including NIR, SWIR & radar).
• Experience with imaging sensors, optics and interfaces, as well as data formats and video codecs, image and video processing techniques, video streaming, video stabilisation, metadata, camera interfacing, calibration.
• Experience with ML tools, e.g. FiftyOne and ClearML.
• Experience with experimentation platforms such as Jupyter Notebooks.
• Knowledge of data pre-processing and augmentation techniques for computer vision tasks.
• Experience in getting Machine Learning artefacts to production.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services, with focus on Google Cloud.
• Basic knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc.
• Experience with agile development.
• Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems. High attention to detail and a commitment to ensuring the accuracy and quality of work.

What we have to offer you:

• An excellent work environment and an opportunity to create a real impact in the world.
• A truly high-tech, state-of-the-art engineering company with flat structure and no politics.
• Working with the very latest technologies in Computer Vision, Data and AI, including Edge AI and Swarming - both within our software platforms and within our embedded on-board systems.
• Flexible work arrangements.
• Professional development opportunities.
• Collaborative and inclusive work environment.
• Salary compatible with the level of proven experience.

Do you want to know more about us ?

Visit our LinkedIn page at https://www.linkedin.com/company/tekever/